新工科背景下财经类院校深度学习与神经网络课程教学改革探索

Qingxu Li
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摘要

为应对经济发展对人才培养提出的新挑战,我国正在积极推进新工科建设。在新工科背景下,培养学生的跨学科综合能力、创业精神和实践能力成为人才培养的主要目标之一。本文分析了《深度学习与神经网络》课程的教学现状,以新工科建设理念为指导,具体从优化教学内容、创新实践教学、师资队伍建设、优化课程考核指标等方面探索教学改革。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploration of Deep Learning and Neural Network Course Teaching Reform in Finance and Economics Colleges under the Background of New Engineering
In response to the new challenges that economic development poses for talent cultivation, China is actively promoting the construction of new engineering disciplines. Under the new engineering background, fostering students' comprehensive cross-disciplinary abilities, entrepreneurial spirit, and practical skills has become one of the main objectives of talent development. This paper analyzes the current state of teaching the "Deep Learning and Neural Networks" course and, guided by the concept of new engineering construction, explores teaching reforms specifically from aspects such as optimizing teaching content, innovating practical teaching, faculty development, and optimizing course assessment indicators.
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